scholarly journals Research on the Intelligent Construction System - Distributed Automatic Construction Planning System with JAVA

1998 ◽  
Author(s):  
Masahiro Morita
Keyword(s):  
Planning System ◽  
Construction Planning ◽  
Automatic Construction ◽  
Construction System

OARPLAN: Generating project plans by reasoning about objects, actions and resources

1988 ◽  
Vol 2 (3) ◽  
pp. 169-181 ◽  
Author(s):  
Adnan Darwiche ◽  
Raymond E. Levitt ◽  
Barbara Hayes-Roth
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Three Dimensional ◽  
Planning System ◽  
Construction Planning ◽  
Research Issues ◽  
Structural Support ◽  
Cad System ◽  
Frame Building ◽  
Facility Construction

This paper describes OARPLAN, a prototype planning system that generates construction project plans from a description of the objects that comprise the completed facility. OARPLAN is based upon the notion that activities in a project plan can be viewed as intersections of their constituents: objects, actions and resources. Planning knowledge in OARPLAN is represented as constraints based on activity constituents and their interrelationships; the planner functions as a constraint satisfaction engine that attempts to satisfy these constraints. The goal of the OARPLAN project is to develop a planning shell for construction projects that (i) provides a natural and powerful constraint language for expressing knowledge about construction planning, and (ii) generates a facility construction plan by satisfying constraints expressed in this language.To generate its construction plan, OARPLAN must be supplied with extensive knowledge about construction objects, actions and resources, and about spatial, topological, temporal and other relations that may exist between them. We suggest that much of the knowledge required to plan the construction of a given facility can be drawn directly from a three-dimensional CAD model of the facility, and from a variety of databases currently used in design and project management software. In the prototype OARPLAN system, facility data must be input directly as frames. However, we are collaborating with database researchers to develop intelligent interfaces to such sources of planning data, so that OARPLAN will eventually be able to send high level queries to an intelligent database access system without regard for the particular CAD system in which the project was designed.We begin by explaining why classical AI planners and domain specific expert system approaches are both inadequate for the task of generating construction project plans. We describe the activity representation developed in OARPLAN and demonstrate its use in producing a plan of about 50 activities for a steel-frame building, based on spatial and topological constraints that express structural support, weather protection and safety concerns in construction planning. We conclude with a discussion of the research issues raised by our experiments with OARPLAN to date.

scholarly journals STUDY ON A CONSTRUCTION PLANNING SYSTEM BY NETWORK MODEL

1972 ◽  
Vol 1972 (204) ◽  
pp. 95-105
Author(s):  
Kenji Kawasaki ◽  
Mamoru Haruma ◽  
Ryuichiro Tasaka ◽  
Hiroshi Sasajima
Keyword(s):  
Network Model ◽  
Planning System ◽  
Construction Planning

Automatic Construction of Virtual Supply Chain as Multi-Agent System Using Enterprise E-Catalogues

2020 ◽  
Vol 14 (5) ◽  
pp. 713-722
Author(s):  
Tatsushi Nishi ◽  
Michiko Matsuda ◽  
Mao Hasegawa ◽  
Roghayyeh Alizadeh ◽  
Ziang Liu ◽  
...  
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Chain Model ◽  
Multi Agent System ◽  
Agent System ◽  
Automatic Construction ◽  
Enterprise Model ◽  
Enterprise Models ◽  
Multi Agent ◽  
Construction System

In Industry 4.0, a network of enterprises and factories is constructed collaboratively and dynamically according to the cyber physical system (CPS) paradigm. It is necessary to build smart supply chains according to this concept. A network of component enterprises in a supply chain would be modeled as a virtual supply chain in the cyber world. From the viewpoint of Industry 4.0, virtualizing a supply chain is the foundation for constructing a CPS for a supply chain. The virtualization of a supply chain makes it easier for companies to study their integrating and expanding opportunities. By using this CPS, comprehensive and autonomous optimization of the supply chain can be achieved. This virtual supply chain can be used to simulate the planning phase with negotiation, as well as the production phase. In this paper, instead of specific mathematical modeling for each supply chain, a general configuration method of a virtual supply chain is proposed. The configuration method of a supply chain model is proposed as a virtual supply chain using enterprise e-catalogues. A virtual supply chain is constructed as a multi-agent system, which is connections of software agents that are automatically created from each selected enterprise model in the e-catalogues. Three types of component enterprise models are provided: manufacturer model, part/material supplier model, and retailer model. Modeling templates for these three types of enterprises are prepared, and each template is a nominal model in terms of enterprise’s behavior. Specific component-enterprise models are prepared by filling the appropriate template. Each component enterprise agent is implemented using the enterprise model selected from the catalogues. Manufacturer, retailer, and supplier e-catalogues, as well as an automatic construction system of a virtual supply chain, are implemented. Methods for developing templates for the manufacturer, retailer and supplier were provided, and the construction system for specific enterprise models (as e-catalogues) is implemented as a trial.

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